柬埔寨与巴布亚新几内亚对比
柬埔寨与巴布亚新几内亚:热带夜
2014 年热带夜:柬埔寨为 337.4 夜,巴布亚新几内亚为 250 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 87.4 夜,是巴布亚新几内亚的 1.35 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,柬埔寨的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年柬埔寨为 357.6 夜,巴布亚新几内亚为 276.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 柬埔寨 | 巴布亚新几内亚 |
|---|---|---|
| 2014 | 337.4 | 250 |
| 2013 | 342.5 | 250.3 |
| 2012 | 340.1 | 248.7 |
| 2011 | 338.3 | 247 |
| 2010 | 338.2 | 249.1 |
| 2009 | 339.2 | 247.8 |
| 2008 | 334.9 | 246.9 |
| 2007 | 336.1 | 246.6 |
| 2006 | 336 | 247 |
| 2005 | 334 | 247.2 |
| 2004 | 338.1 | 247 |
| 2003 | 332.9 | 245.9 |
| 2002 | 333.3 | 245.6 |
| 2001 | 337.1 | 246.5 |
| 2000 | 335.9 | 245.9 |
| 1999 | 335.1 | 244.8 |
| 1998 | 334.8 | 243.9 |
| 1997 | 336.8 | 243 |
| 1996 | 330.5 | 241.9 |
| 1995 | 328.7 | 241.6 |
| 1994 | 334.3 | 239.6 |
| 1993 | 329.9 | 236.8 |
| 1992 | 321.5 | 235 |
| 1991 | 328.1 | 242.1 |
| 1990 | 333.3 | 242.7 |
| 1989 | 330.3 | 240.3 |
| 1988 | 332 | 241.3 |
| 1987 | 329.7 | 240.8 |
| 1986 | 330.9 | 241.1 |
| 1985 | 330.8 | 238.2 |
| 1984 | 331.2 | 238.3 |
| 1983 | 328.7 | 236 |
| 1982 | 329.3 | 239.7 |
| 1981 | 331.2 | 239.4 |
| 1980 | 329.9 | 239.4 |
| 1979 | 330.4 | 238.9 |
| 1978 | 327.5 | 237.6 |
| 1977 | 331.6 | 238.1 |
| 1976 | 329.2 | 235.2 |
| 1975 | 328.1 | 237.6 |
| 1974 | 326.8 | 236.9 |
| 1973 | 331.2 | 238.1 |
| 1972 | 327.1 | 236.3 |
| 1971 | 327.4 | 236.9 |
| 1970 | 327.9 | 234.7 |
| 1969 | 327.4 | 235.9 |
| 1968 | 327.6 | 235.4 |
| 1967 | 323.9 | 234.7 |
| 1966 | 326.4 | 235.3 |
| 1965 | 329.8 | 233.5 |
| 1964 | 327.1 | 232 |
| 1963 | 328.6 | 232.3 |
| 1962 | 326.2 | 237.1 |
| 1961 | 332.3 | 237.7 |
| 1960 | 329 | 238.1 |
| 1959 | 328.5 | 237.5 |
| 1958 | 332.7 | 238.5 |
| 1957 | 331.1 | 236.1 |
| 1956 | 330 | 236.9 |
| 1955 | 326.8 | 237.6 |
| 1954 | 329 | 235.9 |
| 1953 | 329.6 | 236.5 |
| 1952 | 329.2 | 237.1 |
| 1951 | 330.9 | 237.2 |
| 1950 | 328.6 | 236.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 柬埔寨 | 巴布亚新几内亚 |
|---|---|---|
| 2015 | 340323.1–351.2 | 251.6240.9–257.9 |
| 2016 | 339.6325.3–352.5 | 250.8241.6–258.7 |
| 2017 | 341.9327.4–350.7 | 251.6240–258.6 |
| 2018 | 343.5320.1–353.1 | 252240.2–258.8 |
| 2019 | 340.8327.2–352.1 | 252.2242–259.7 |
| 2020 | 343325.7–352.6 | 253.8242.9–261.3 |
| 2021 | 345.2328.4–353 | 253242.7–259.2 |
| 2022 | 344.4332.5–353.4 | 254.2242.9–261.3 |
| 2023 | 344.7333.7–355.1 | 254243.4–262 |
| 2024 | 342.1327.5–352.9 | 256246.5–263.4 |
| 2025 | 343.4332.6–351 | 254.9244.4–263.6 |
| 2026 | 343.9324.7–353.4 | 255.8245–263.7 |
| 2027 | 345.3330.6–354.2 | 255.6245.6–262.9 |
| 2028 | 346.5331–356.9 | 256.2246.5–264.2 |
| 2029 | 346.5330.1–357.3 | 257.9248.1–265.4 |
| 2030 | 346.7332.4–355.4 | 256.8246.2–264.3 |
| 2031 | 347.7332.3–356.7 | 256.4246–263.8 |
| 2032 | 347.5332.3–354.7 | 258.6247.9–267.7 |
| 2033 | 346.5331.7–358.1 | 259.5248.8–266.1 |
| 2034 | 348.1335.3–357 | 257.9248.2–265.2 |
| 2035 | 347.7330.1–357.7 | 259.4250–270 |
| 2036 | 348.2329.7–355.8 | 259.6249.8–268.4 |
| 2037 | 347.4334.6–355.4 | 259.4249.3–267.6 |
| 2038 | 348.9335.4–357.3 | 261.1251.9–268.7 |
| 2039 | 349.3335.7–358.3 | 261.6251.5–268.3 |
| 2040 | 348.9339.2–356.6 | 260.6250–271.3 |
| 2041 | 349.9337.3–358.1 | 262.1250.9–271.1 |
| 2042 | 348.1336.5–357.9 | 261.7251.3–271.2 |
| 2043 | 348.4336.5–357.3 | 261.4250.7–270.1 |
| 2044 | 348.6337.6–357.8 | 263.5253.3–271.6 |
| 2045 | 349.4335.2–360.2 | 263.7252.3–272.6 |
| 2046 | 351.3337.9–359.4 | 264251.2–272.4 |
| 2047 | 352.1341.4–359.4 | 264.7253.1–274.1 |
| 2048 | 351.1338.7–360.6 | 263.6253.4–273.3 |
| 2049 | 352.5339.7–360 | 265.6254.3–275.8 |
| 2050 | 352.6340.1–359.7 | 266.3254.6–275.6 |
| 2051 | 354.4343.2–360.9 | 265254–276.5 |
| 2052 | 353.3343.5–359.5 | 266.5255.1–275.9 |
| 2053 | 351.8340.5–358.9 | 265.5254.3–277.2 |
| 2054 | 352343.5–359.3 | 265.6255–277.3 |
| 2055 | 352.8339.5–359.2 | 266.9255.8–278.4 |
| 2056 | 353.4339.8–360.9 | 267.6256.1–278.5 |
| 2057 | 352.1338.8–359.4 | 267.1254.9–278 |
| 2058 | 353.3343–360.6 | 267.4255.2–278.8 |
| 2059 | 355341.5–359.7 | 267.5255.8–278.8 |
| 2060 | 354344.1–362 | 270.4257.3–280.1 |
| 2061 | 355338.3–361 | 268.7257–278.3 |
| 2062 | 352.2341.4–361 | 268.3254.5–281.2 |
| 2063 | 356344–360.6 | 268.6256.4–281.7 |
| 2064 | 354.4341.4–361.7 | 269.5257–281.3 |
| 2065 | 352.7343.4–359.8 | 269.1257.2–280.5 |
| 2066 | 353.7341.8–360.2 | 270258.8–282.1 |
| 2067 | 352.9341.2–360.3 | 270256.7–281.9 |
| 2068 | 354.6343.6–361.1 | 271.1256.2–283.4 |
| 2069 | 355.6344.7–361.2 | 271.8258.6–282.9 |
| 2070 | 355343.5–361.4 | 270.7257–281.1 |
| 2071 | 356346.1–361.1 | 273.3258.5–284.9 |
| 2072 | 356.6345.8–361.5 | 271.3257.7–282.6 |
| 2073 | 357.1347.3–362 | 272.6259.4–284 |
| 2074 | 356.1341.9–362.3 | 272.8258.8–285.6 |
| 2075 | 354.9340.7–361.9 | 273.1258.5–284.4 |
| 2076 | 357.6347.1–362.9 | 272.6258.9–282.9 |
| 2077 | 356.7345.6–362.3 | 273.4259.5–285.8 |
| 2078 | 355345.5–361.7 | 273.5260.4–284.1 |
| 2079 | 356.5347.1–361.5 | 273.1259.6–285.6 |
| 2080 | 358347.4–363.9 | 274.1260.6–286.6 |
| 2081 | 355.8345.5–362.5 | 274.1260.6–286.9 |
| 2082 | 354.6345.1–360.9 | 274.2259.8–283.7 |
| 2083 | 355.2345.7–361.7 | 275.7261.4–286.9 |
| 2084 | 355.7343.4–361.6 | 275.1261.3–286.7 |
| 2085 | 358.4350–362.5 | 275260.2–287.9 |
| 2086 | 356.6345.5–361.8 | 275.4262.7–287.1 |
| 2087 | 357.5346.7–362.5 | 273.4261–287.5 |
| 2088 | 357347.6–362.4 | 276.5262.7–287 |
| 2089 | 357.2346.7–361.8 | 275.4261.5–288.4 |
| 2090 | 355.7347.6–362.1 | 274.9261.9–288.4 |
| 2091 | 357.8345.5–362.6 | 276.8260.9–289.4 |
| 2092 | 355.5343.9–362.3 | 276.8262.1–288.4 |
| 2093 | 355.6344.4–361.2 | 275.4262.9–290.1 |
| 2094 | 359.2347.3–362.9 | 276.9262.2–288.1 |
| 2095 | 358.6347.7–362.8 | 277261.9–287.5 |
| 2096 | 357.8348.4–363.2 | 276261.9–293 |
| 2097 | 356.8346.5–362.4 | 274.9261.5–288.8 |
| 2098 | 356.2346.9–362.6 | 276.6261.6–289.1 |
| 2099 | 356.8346.4–362.7 | 276.9261.8–290.6 |
| 2100 | 357.6347.9–363.1 | 276.3261.4–287.1 |
分别查看各国
须知
- 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
- 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。
各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据
柬埔寨与巴布亚新几内亚对比
健康
人口与社会
- 人口柬埔寨:2023 年为 1740万 人巴布亚新几内亚:2023 年为 1040万 人
- 人口增长柬埔寨:2023 年为 1.25%/年巴布亚新几内亚:2023 年为 1.8%/年
- 生育率柬埔寨:2023 年为 2.58(每名妇女)巴布亚新几内亚:2023 年为 3.1(每名妇女)
- 城市人口柬埔寨:2025 年为 41.1%巴布亚新几内亚:2025 年为 15.8%
- 年龄中位数柬埔寨:2023 年为 25.8 年巴布亚新几内亚:2023 年为 22.3 年
- 65 岁及以上人口柬埔寨:2023 年为 6%巴布亚新几内亚:2023 年为 3.3%
- 净移民率柬埔寨:2023 年为 -1.8‰巴布亚新几内亚:2023 年为 -0.1‰
经济
教育
政治
冲突
军用
- 军费开支柬埔寨:2025 年为 GDP 的 1.45%巴布亚新几内亚:2025 年为 GDP 的 0.35%
- 军费开支(美元)柬埔寨:2025 年为 US$7.16亿巴布亚新几内亚:2025 年为 US$1.1亿
- 人均军费开支柬埔寨:2025 年为 US$42巴布亚新几内亚:2025 年为 US$10
- 军费占政府支出比例柬埔寨:2025 年为 8.2%(占政府支出)巴布亚新几内亚:2025 年为 1.6%(占政府支出)
- 武装部队人员柬埔寨:2020 年为 191,000 人巴布亚新几内亚:2020 年为 4,000 人
- 国家实力柬埔寨:2022 年为 0.16%(占全球实力)巴布亚新几内亚:2022 年为 0.03%(占全球实力)
- 武装部队占劳动力比例柬埔寨:2020 年为 2.02%(占劳动力)巴布亚新几内亚:2020 年为 0.12%(占劳动力)
- 武器进口柬埔寨:2023 年为 5600万 TIV巴布亚新几内亚:2023 年为 900万 TIV